PMID:14751985

Citation	Romero, PR and Karp, PD (2004) Using functional and organizational information to improve genome-wide computational prediction of transcription units on pathway-genome databases. Bioinformatics 20:709-17
Abstract	The prediction of transcription units (TUs, which are similar to operons) is an important problem that has been tackled using many different approaches. The availability of complete microbial genomes has made genome-wide TU predictions possible. Pathway-genome databases (PGDBs) add metabolic and other organizational (i.e. protein complexes) information to the annotated genome, and are able to capture TU organization information. These characteristics of PGDBs make them a suitable framework for the development and implementation of TU predictors.
Links	PubMed Online version:10.1093/bioinformatics/btg471
Keywords	Algorithms; Bacterial Proteins/genetics; Bacterial Proteins/metabolism; Chromosome Mapping/methods; Databases, Genetic; Gene Expression Profiling/methods; Gene Expression Regulation, Bacterial/physiology; Genome, Bacterial; Information Storage and Retrieval/methods; Signal Transduction/physiology; Software; Structure-Activity Relationship; Transcription Factors/genetics; Transcription Factors/metabolism
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